James Thomin

Chief Technology Officer at GUDEA

Fort Walton Beach, Florida, United States
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Summary

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Senior
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Top School
Based in Fort Walton Beach, Florida, James Thomin is a technology leader serving as Chief Technology Officer at GUDEA, bringing over 11 years of experience in machine learning, AI deployment, data science, and large-scale distributed systems. He blends hands-on software development with strategic leadership, guiding cross-functional teams to design, build, and scale ML-driven products. James's career uniquely pairs rigorous scientific training with entrepreneurial and academic leadership, including roles as an associate professor of chemistry and owner/leadership positions in various ventures. Prior to GUDEA, he advanced ML initiatives at Research Square as ML Engineer, Scientist, and Staff Engineer, delivering end-to-end ML pipelines and production-grade systems. He earned an MS and PhD in Chemical Engineering from Rensselaer Polytechnic Institute and a BS in Chemical Engineering from the University of Florida, providing a strong quantitative foundation for his software and ML work.
code11 years of coding experience
job19 years of employment as a software developer
bookAssociate of Arts (AA), Associate of Arts (AA) at Northwest Florida State College
bookMS, PhD, Chemical Engineering, MS, PhD, Chemical Engineering at Rensselaer Polytechnic Institute
bookB.S., Chemical Engineering, B.S., Chemical Engineering at University of Florida
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Github Skills (53)

pytorch10
python10
machine-learning10
deep-learning10
natural-language-processing10
nlp10
filesystem9
transformers9
autoencoder9
language-model9
bert9
tensorflow9
jax9
speech-recognition9
transformer9

Programming languages (3)

ShellPHPPython

Github contributions (5)

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thominj/dotfiles

Mar 2016 - Aug 2023

Contributions:2 PRs, 7 pushes, 2 branches in 7 years 6 months
dotfiles
thominj/tensor2tensor

Dec 2019 - Jul 2020

A library for generalized sequence to sequence models
Contributions:2 PRs, 3 pushes, 1 branch in 7 months
sequencesequence-modelssequence-to-sequence-modelsbioinformaticssequence-to-sequence
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